Dissemination effort, innovation attributes, and variations in innovation dissemination rate

Author(s):  
Mawuena Aggey ◽  
Nana Kwamina Tekyi Ghartey ◽  
Charles Kweku Brown
2014 ◽  
Vol 17 (5) ◽  
pp. 1039-1056 ◽  
Author(s):  
Kawaljeet Kaur Kapoor ◽  
Yogesh K. Dwivedi ◽  
Michael D. Williams

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Babajide Oyewo

PurposeThis study investigates the usage of modern management accounting techniques popularly referred to as “strategic management accounting” (SMA), and the extent to which innovation attributes (namely relative advantage, compatibility, complexity, trialability and observability) determine SMA usage intensity.Design/methodology/approachSurvey data was obtained through a structured questionnaire from 45 out of 56 publicly listed manufacturing companies on the Mainboard of the Nigerian Stock Exchange. Descriptive statistics, one-way ANOVA, exploratory factor analysis, confirmatory factor analysis and structural equation modelling were used to analyse data.FindingsWhereas the overall usage rate of SMA as an innovation is generally moderate, there is significant difference in SMA usage intensity across industries in the manufacturing sector due to environmental uncertainty. Compatibility emerged as the strongest determinant of SMA usage intensity, implying that commercial enterprises would intensely apply SMA to remain innovative, to continuously improve and to incorporate strategy in accounting practice in a bid to survive competition. SMA will witness extensive usage if it aligns with the competitive strategies of an organisation.Research limitations/implicationsThe attributes of innovation measured treat all SMA techniques as one, but did not measure relative advantage, compatibility, complexity, trialability and observability for each of the techniques. Future studies may consider investigating how innovation attributes specifically affect each SMA technique. The dimension of compatibility investigated in the study lean towards the alignment of SMA with competitive strategies. Taking into account the multidimensionality of compatibility as an innovation attribute, future studies may examine how past experience of implementing new ideas, as well as compatibility of SMA with corporate culture and value system, affect the dissemination and diffusion of management accounting innovations.Practical implicationsThe paper proposes that although innovation attributes may partly explain SMA usage, coercive factors such as competition and environmental uncertainty may also be responsible for the decision to adopt innovative management accounting practices. The study therefore calls for a critical appraisal of how coercive institutional factors such as competition, regulation and actions of key stakeholders influence the decision of organisations to adopt an innovation.Originality/valueThis paper contributes to knowledge by challenging existing knowledge and presenting evidence that innovation attributes acclaimed to determine the spread of an innovation may be inapplicable in certain settings due to some environmental challenges. The study also contributes to knowledge by developing a composite scale for measuring innovation attributes specifically adapted to management accounting innovation, which can be used in future studies.


2008 ◽  
pp. 1236-1254
Author(s):  
Qile He ◽  
Yanqing Duan ◽  
Zetian Fu ◽  
Daoliang Li

Adoption of IT innovations is attracting increasing attention. Researchers are particularly interested in factors that affect the adoption of IS and IT innovations. Innovation diffusion theory is used frequently to evaluate the effect of perceived innovation attributes and the adoption of innovations. Nevertheless, explanatory power of perceived innovation attributes varies across different innovations. Given the importance of online e-payment to the further development of e-commerce and its importance as a payment innovation, this research examines the adoption of online e-payment by business enterprises using Rogers’ relational model of perceived innovation attributes and rate of adoption. The findings indicate that only perceived compatibility has significant influence on online e-payment adoption of Chinese companies. It is hoped that this research can help other researchers with related statistical procedures and analytical steps in their study of IS/IT adoption using innovation diffusion theory.


2014 ◽  
Vol 5 (3) ◽  
pp. 69-90
Author(s):  
Romina L. Bot ◽  
Maria del Rosario Uribe ◽  
Alejandra J. Magana ◽  
Thomas Mustillo ◽  
John A. Springer

Studies of technology acceptance suggest that individuals' perceptions of usage might be antecedents to predict their adoption. This research study explored students' and professors' perceptions regarding a web-based tool for political science education; the ultimate goal was to identify students and professors' perceived usefulness and usability and thus their intention to adopt the solution as a learning tool. Forty participants answered a survey questionnaire, and quantitative and qualitative approaches were followed to uncover the relationships between usability principles, innovation attributes, and perceptions of usage. The results of the study provide new insight into the factors that may contribute to the acceptance of the learning tool, and ultimately to its actual use.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Bo Wang ◽  
Jianhua Zhang ◽  
Haifeng Guo ◽  
Yuwang Zhang ◽  
Xiaotuo Qiao

We build an information dissemination model based on SIR model to study information dissemination in microblog networks. We consider different influence factors of information dissemination such as activity, credibility, and weight of network and construct calculation methods of various parameters, for instance, direct immune rate, indirect immune rate, and information dissemination rate. Meanwhile, by collecting data from API in Weibo and using the result of microblog information dissemination life cycle analysis, we utilize the model to conduct simulation and get the change trend of proportion in Stages S, I, and R. After comparing with the actual situation, this model is proved to be effective in predicting the trend of information dissemination.


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